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The Regional City and Town Planning

2016· book-chapter· en· W4254162744 on OpenAlexaboutno aff
Kristin E. Larsen

Bibliographic record

VenueCornell University Press eBooks · 2016
Typebook-chapter
Languageen
FieldArts and Humanities
TopicLandscape and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRegionalism (politics)Regional planningUrban planningState (computer science)Regional developmentTown planningGeographyRegional studiesRegional sciencePolitical scienceCivil engineeringPoliticsEngineeringLaw

Abstract

fetched live from OpenAlex

This chapter focuses on Clarence Samuel Stein's postwar concept of the Regional City as well as the maturation of his town planning ideas. Stein and his colleagues began to regularly use the term Regional City in 1927. Their early conception envisioned an amalgam of the romanticized medieval village with connections to the land combined with all the conveniences offered through new technologies to enhance modern lifestyles in distinctive, relatively small towns. Stein, together with MacKaye and Mumford, advocated for regional, even national, planning based on the ideas the Regional Planning Association of America (RPAA) had already promoted, including regional river basin planning, the townless highways, and state planning. This chapter considers Stein's postwar advocacy of communitarian regionalism and the rebirth of the RPAA as the Regional Development Council of America (RDCA). It also examines how Stein applied his collaborative regionalist and town planning ideals in a concrete project at Kitimat in Canada.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.017
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.005
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0150.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.102
GPT teacher head0.186
Teacher spread0.083 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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Same venueCornell University Press eBooksSame topicLandscape and Cultural StudiesFrench-language works237,207